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Algorithms

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Algorithms
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Code-dependent: Pros and cons of the algorithm age


Algorithms are aimed at optimizing everything. They can save lives, make things easier and conquer chaos. Still, experts worry they can also put too much control in the hands of corporations and governments, perpetuate bias, create filter bubbles, cut choices, creativity and serendipity, and could result in greater unemployment. Algorithms are instructions for solving a...
Report

Machines that learn in the wild: machine learning capabilities, limitations and implications


This short report comes out of a workshop exploring the capabilities and limitations of machine learning algorithms. Rather than a complete resource looking at the specific capabilities of different algorithms, this report is an introduction to some of the current capabilities and limitations in the field.